A hierarchical model for ordinal matrix factorization

This paper proposes a hierarchical probabilistic model for ordinal matrix factorization. Unlike previous approaches, we model the ordinal nature of the data and take a principled approach to incorporating priors for the hidden variables. Two algorithms are presented for inference, one based on Gibbs sampling and one based on variational Bayes. Importantly, these algorithms may be implemented in the factorization of very large matrices with missing entries.     

Evaluating Efficiency-Equality Tradeoffs for Mobile Source Control Strategies in an Urban Area

In environmental risk management, there are often interests in maximizing public health benefits (efficiency) and addressing inequality in the distribution of health outcomes. However, both dimensions are not generally considered within a single analytical framework. In this study, we estimate both total population health benefits and changes in quantitative indicators of health inequality for a number of alternative spatial distributions of diesel particulate filter retrofits across half of an urban bus fleet in Boston, Massachusetts. We focus on the impact of emissions controls on primary fine particulate matter (PM_2.5) emissions, modeling the effect on PM_2.5 concentrations and premature mortality. Given spatial heterogeneity in baseline mortality rates, we apply the Atkinson index and other inequality indicators to quantify changes in the distribution of mortality risk. Across the different spatial distributions of control strategies, the public health benefits varied by more than a factor of two, related to factors such as mileage driven per day, population density near roadways, and baseline mortality rates in exposed populations. Changes in health inequality indicators varied across control strategies, with the subset of optimal strategies considering both efficiency and equality generally robust across different parametric assumptions and inequality indicators. Our analysis demonstrates the viability of formal analytical approaches to jointly address both efficiency and equality in risk assessment, providing a tool for decisionmakers who wish to consider both issues.     

“Just Like I'm Saving Money in the Bank”: Client Perspectives on Care Coordination Services

Older adults face many challenges to community living. The literature has not sufficiently explored the roles of care coordination in the maintenance of housing and access to health care among older adults, particularly from their own perspectives. This qualitative study analyzes the findings from 25 interviews and 6 focus group discussions (48 participants) with a multiethnic sample of older adults in the New York City area. Care coordination services appear to assist older adults access health care, and to a lesser extent, maintain affordable housing. Disparities in access to care coordination appear to remain for immigrant, minority and suburban populations.     

Unconditional Quantile Treatment Effects Under Endogeneity

This article develops estimators for unconditional quantile treatment effects when the treatment selection is endogenous. We use an instrumental variable (IV) to solve for the endogeneity of the binary treatment variable. Identification is based on a monotonicity assumption in the treatment choice equation and is achieved without any functional form restriction. We propose a weighting estimator that is extremely simple to implement. This estimator is root n consistent, asymptotically normally distributed, and its variance attains the semiparametric efficiency bound. We also show that including covariates in the estimation is not only necessary for consistency when the IV is itself confounded but also for efficiency when the instrument is valid unconditionally. An application of the suggested methods to the effects of fertility on the family income distribution illustrates their usefulness. Supplementary materials for this article are available online.     

Inference on Counterfactual Distributions

Counterfactual distributions are important ingredients for policy analysis and decomposition analysis in empirical economics. In this article, we develop modeling and inference tools for counterfactual distributions based on regression methods. The counterfactual scenarios that we consider consist of ceteris paribus changes in either the distribution of covariates related to the outcome of interest or the conditional distribution of the outcome given covariates. For either of these scenarios, we derive joint functional central limit theorems and bootstrap validity results for regression‐based estimators of the status quo and counterfactual outcome distributions. These results allow us to construct simultaneous confidence sets for function‐valued effects of the counterfactual changes, including the effects on the entire distribution and quantile functions of the outcome as well as on related functionals. These confidence sets can be used to test functional hypotheses such as no‐effect, positive effect, or stochastic dominance. Our theory applies to general counterfactual changes and covers the main regression methods including classical, quantile, duration, and distribution regressions. We illustrate the results with an empirical application to wage decompositions using data for the United States. As a part of developing the main results, we introduce distribution regression as a comprehensive and flexible tool for modeling and estimating the entire conditional distribution. We show that distribution regression encompasses the Cox duration regression and represents a useful alternative to quantile regression. We establish functional central limit theorems and bootstrap validity results for the empirical distribution regression process and various related functionals.     

Cognitive functioning and aging in women

Deficits in cognitive function may impact one's ability to attend to stimuli, think clearly, reason, and remember. Impaired cognitive function is a common complaint among older women presenting for treatment in both mental health and medical care settings, and differential diagnosis of type and extent of cognitive impairment is important for appropriate treatment planning and prognosis. Although overall gender differences in prevalence of cognitive dysfunction are minimal, it is important when treating older women to take into account unique challenges they face in the aging process that impact the cause, type and extent of cognitive complaints with which they present in clinical settings. The current paper provides an overview to guide accurate diagnosis, particularly in women, of different types of cognitive impairment under the broad category of dementias, including Alzheimer's, Lewy Body Disease, Vascular Dementia, and due to general medical conditions such as coronary artery bypass surgery, head injury, menopause, hypothyroidism, breast cancer treatment, Fibromyalgia, and chronic fatigue. In addition, emotional factors such as depression in older female patients complicate differential diagnosis of cognitive impairment and must be addressed. Given the multiplicity of causes of cognitive difficulties for women across the life span, careful assessment is crucial; the current paper reviews assessment strategies to prepare an integrated, biopsychosocial strategy for identifying particular cognitive deficits and related psychological and medical problems. In addition, prognostic indicators and treatment planning are discussed to help the practitioner organize an empathic, reasoned and multifaceted treatment approach to maximize recovery, minimize deterioration, and manage symptoms for older women in the context of their social support system and living environment.     

Demographic, psychosocial, and personality characteristics of lesbian batterers

Prevalence of domestic violence (DV) in lesbian and heterosexual relationships appears to be similar. Despite this, few studies have examined factors associated with DV in lesbian relationships, and even fewer have examined characteristics of lesbian batterers. Demographic and psychosocial characteristics and personality traits were examined in 100 lesbians in current relationships (33 Batterers and 67 Nonbatterers). Results indicated that Batterers were more likely to report childhood physical and sexual abuse and higher rates of alcohol problems. Results from the MCMI-III indicated that, after controlling for Debasement and Desirability indices, Batterers were more likely to report aggressive, antisocial, borderline, and paranoid personality traits, and higher alcohol-dependent, drug-dependent, and delusional clinical symptoms compared to Nonbatterers. These results provide support for social learning and psychopathology theoretical models of DV and clinical observations of lesbian batterers, and expand our current DV paradigms to include information about same-sex DV.     

"Just like I'm saving money in the bank": client perspectives on care coordination services

Older adults face many challenges to community living. The literature has not sufficiently explored the roles of care coordination in the maintenance of housing and access to health care among older adults, particularly from their own perspectives. This qualitative study analyzes the findings from 25 interviews and 6 focus group discussions (48 participants) with a multiethnic sample of older adults in the New York City area. Care coordination services appear to assist older adults access health care, and to a lesser extent, maintain affordable housing. Disparities in access to care coordination appear to remain for immigrant, minority and suburban populations.